STSCI 5080

STSCI 5080

Course information provided by the Courses of Study 2024-2025.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent. 

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  7718 STSCI 5080   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7719 STSCI 5080   DIS 201

    • T
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person

  •  7720 STSCI 5080   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person